CAREER: Cost-Effective Application Deployments Spanning Multiple Cloud Services

职业：跨多个云服务的经济高效的应用程序部署

• 批准号: 1463126
• 负责人: Harsha Madhyastha
• 金额: $ 34.49万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-10-01 至 2018-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1463126&HistoricalAwards=false
• 关键词: CAREER; Cost; Effective; Application; Deployments

The use of cloud computing services---services that host infrastructure on which third-parties can run applications and store data---has skyrocketed in the last few years. However, despite the growing number of cloud services, most applications are deployed today on a single cloud service. This status quo has severaldrawbacks---availability and performance offered by an application are limitedby the cloud service on which the application is deployed, and cost borne byan application provider to meet performance goals is limited by the types andpricing of resources offered by that service.This research project will enable distributed applications to obtain betteravailability and performance at lower cost by planning and managing application deployments that span multiple cloud services. Recognizing the fact that differentcomponents of an application have different characteristics, this project willenable cost-effective multi-cloud deployments by matching the heterogeneity ofan application's components with the diversity of resources offered bydifferent cloud services. The research in this project involves three maintasks---1) the development of algorithms to choose cost-effectively among the myriad candidate configurations for deploying an application across cloud services, 2) the design and implementation of a distributed measurement and monitoring framework to dynamically reconfigure an application's deployment asthe state of cloud services and of the Internet change over time, and 3) thedevelopment of tools and techniques that enable legacy applications implemented for deployment on a single cloud service to be easily ported to multi-cloud deployments. The research will involve significantsystems-building and experimentation with the proposed techniques applied todeployments of popular applications on real cloud services.Broader Impact:In spite of the increasing popularity of cloud services, there remain severalconcerns about their use. The algorithms and software systems developed aspart of this research may transform the ways in which application providersuse cloud services, thus easing concerns with respect to availability andperformance. The project also has a significant education component with theintroduction of new graduate and undergraduate classes, and public talks toincrease awareness about cloud services among small and non-profit businesses.

云计算服务的使用--托管基础设施的服务，第三方可以在其上运行应用程序和存储数据--在过去几年中急剧增长。然而，尽管云服务的数量不断增长，但目前大多数应用程序都部署在单个云服务上。 这种现状有几个缺点-应用程序提供的可用性和性能受到部署应用程序的云服务的限制，应用程序提供商为满足性能目标而承担的成本受到该服务提供的资源类型和定价的限制。本研究项目将通过规划和管理应用程序部署，跨多个云服务。 认识到应用程序的不同组件具有不同特性的事实，该项目将通过将应用程序组件的异构性与不同云服务提供的资源多样性相匹配来实现具有成本效益的多云部署。 本项目的研究涉及三个主要任务：1）开发算法，以便在众多的候选配置中选择成本有效的配置，以便在云服务上部署应用程序，2）设计和实现分布式测量和监控框架，以便随着云服务和互联网的状态随时间变化而动态地重新配置应用程序的部署，以及3）开发工具和技术，使部署在单个云服务上的遗留应用程序能够轻松地移植到多云部署。 这项研究将涉及重大的系统建设和实验与所提出的技术适用于流行的应用程序部署在真实的云服务。更广泛的影响：尽管云服务的日益普及，仍然存在着几个关注他们的使用。 作为这项研究的一部分开发的算法和软件系统可能会改变应用程序提供商使用云服务的方式，从而缓解对可用性和性能的担忧。 该项目也有一个重要的教育组成部分，引入新的研究生和本科生课程，并公开讲座，以提高小型和非营利企业对云服务的认识。